On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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5 results for “graphene”

Length and torsion dependence of thermal conductivity in twisted graphene nanoribbonscond-mat.mes-hall

Study examines how twisting graphene nanoribbons affects their thermal conductivity.

problem Understanding how twisting affects thermal conductivity in graphene nanoribbons.

method Calculated geometric parameters of TGNRs, including twist and writhe, and used molecular dynamics simulations.

result Twisted graphene nanoribbons require at least two parameters to accurately describe their thermal conductivity.

Graphene nanoribbons Thermal conductivity Twist Writhe Molecular dynamics

2024-04-30abs ↗pdf ↗

A System for Generating Non-Uniform Random Variates using Graphene Field-Effect Transistorscs.ET

New method uses graphene transistors for efficient non-uniform random number generation.

problem Generating non-uniform random variates efficiently.

method GFET-based hardware non-uniform random number generator.

result Demonstrated speedup of Monte Carlo integration by up to 2x.

graphene transistors non-uniform random variates GFETs Monte Carlo integration wavelet decomposition

2020-04-28abs ↗pdf ↗

Manifold Learning of Four-dimensional Scanning Transmission Electron Microscopyeess.IV

Researchers use manifold learning to analyze 4D-STEM data of graphene, revealing atomic structure details.

problem Challenges in processing and interpreting large 4D-STEM datasets, especially for light materials.

method Data-driven manifold learning approaches for visualization and exploration of 4D-STEM datasets.

result Extracted patterns relate to individual atom sites and sublattice structures, effectively discriminating single dopant anomalies.

4D-STEM manifold learning graphene atomically resolved dopant atoms

2018-10-18abs ↗pdf ↗

Rapid Discovery of Graphene Nanocrystals Using DFT and Bayesian Optimization with Neural Network Kernelcond-mat.mtrl-sci

New method finds graphene nanocrystals with reduced DFT calculations.

problem Efficiently discovering materials with desired properties in high-dimensional chemical space.

method Bayesian optimization with neural network kernel to minimize DFT calculations.

result Reduced computational cost by 20% for discovering materials with target properties.

graphene nanocrystals Bayesian optimization neural network materials discovery density functional theory

2022-08-16abs ↗pdf ↗

Atomistic structure learningcond-mat.mtrl-sci

ASLA learns atomic structures using neural networks and reinforcement learning.

problem Designing materials and drugs with desired properties.

method Atomistic structure learning algorithm (ASLA) using a convolutional neural network and reinforcement learning.

result ASLA can predict optimal structural arrangements of atoms for various target properties.

atomistic structure learning neural networks reinforcement learning quantum mechanical material design

2019-02-27abs ↗pdf ↗